Jobs at Datadog

Target and close new business with large enterprise customers, especially Fortune 1000 organizations operating in or migrating to cloud environments. Responsibilities include prospecting, building relationship maps, understanding customer needs, negotiating pricing and terms, expanding existing accounts, developing pipeline, identifying business drivers, and maintaining accurate forecasts. The role requires enterprise sales experience, strong prospecting skills, success selling technology solutions, and regular travel to client sites.

Target and close new business with large strategic enterprise customers. Build relationships and territory maps, uncover customer needs, sell Datadog solutions based on value and ROI, negotiate enterprise contracts, expand existing accounts, develop pipeline, overcome challenges, and maintain accurate forecasts. The role requires experience selling SaaS, IT infrastructure, or similar technology to Fortune 1000 companies, with regular travel to client sites.

Leads, hires, coaches, and develops an Enterprise Sales team responsible for new and expansion bookings. Owns quota attainment, forecasting, productivity metrics, go-to-market strategy, complex enterprise negotiations, executive relationships, and regional customer messaging. Collaborates with Marketing, Product, and Customer Success while participating in client meetings. Requires extensive enterprise technology sales experience and travel up to 70% of the time.

Manage a five-engineer team responsible for Datadog’s Observability Pipelines product. Own people management, engineering execution, planning, incident response, on-call operations, reliability, and release quality. Partner with Product Management on roadmap strategy and technical priorities, while coaching engineers and supporting career growth. The role requires a technical background in distributed systems, data infrastructure, systems programming, or high-throughput data planes, with Rust-based pipeline and on-premise software experience preferred.

Partners with sales, technical account management, customer success, and account teams to present Datadog’s value, deliver product demonstrations, support customer trials, conduct technical evaluations, assess solution feasibility, and close complex enterprise opportunities. Builds evaluation plans, resolves technical concerns, communicates with stakeholders from technical experts to C-level executives, and shares customer and competitive feedback with product and business teams.

Develop and execute go-to-market strategies, quota and capacity planning, KPI frameworks, incentive design, and revenue growth initiatives. Analyze sales data, build models and dashboards, identify channel efficiency trends, and support senior GTM leaders with strategic decision-making. Lead cross-functional operational projects involving Sales, Marketing, Strategy, and Product while managing multiple priorities and presenting insights to executive stakeholders.

Own talent engagement programs aligned with hiring priorities, including targeted campaigns, nurture journeys, internal marketing, events, and network activation. Build AI-enabled workflows for segmentation, follow-up, reporting, and program delivery while protecting candidate and employee data. Partner with Recruiting, Employer Brand, Content, Creative, and regional teams to create messaging, activation materials, and experiences. Manage budgets and priorities, evaluate performance, improve tracking, and use insights to optimize investment and delivery capacity.

Leads full-funnel integrated demand generation campaigns across paid, owned, and earned channels for key products. Owns campaign strategy, calendars, budgets, forecasts, vendor programs, reporting, and pipeline impact. Partners with product marketing, sales, and global marketing to coordinate messaging and launches. Analyzes campaign performance, presents results to leadership, and develops AI agents and workflows to improve planning, production, reporting, and marketing efficiency.

Provide hands-on technical guidance to enterprise customers, supporting product adoption, configuration, and renewal success. Analyze IT operations environments, recommend improvements, advocate for customer goals, conduct business reviews, and collaborate with product, engineering, and technical services teams. The role requires cloud, scripting, CI/CD, containerization, monitoring, and AI-tool expertise, along with up to 20% travel to client sites.

Build and manage customer relationships through onboarding, product adoption, upselling, cross-selling, and renewal-risk identification. Partner with sales and internal teams to ensure successful transitions and customer outcomes. Advise customers on effective Datadog usage, monitor usage trends, identify growth opportunities, negotiate contract terms, and overcome pricing objections. The role follows a structured customer success methodology in a hybrid workplace.

Provide hands-on technical guidance and product adoption support to enterprise Datadog customers. Advise on IT Operations environments, recommend configurations and process improvements, support business reviews and renewals, advocate for customer goals, and collaborate with product, engineering, and technical services teams. The role requires cloud platform expertise, scripting, CI/CD, containerization, monitoring tools, and up to 30% travel to client sites.

Develop and optimize GPU kernels and large-scale AI infrastructure for LLM training and inference. Improve memory, compute, and communication efficiency across NVIDIA GPUs and distributed systems. Build benchmarks, profiling tools, and regression tests while collaborating with research scientists on efficient model implementations. Work with CUDA, Triton, low-precision formats, collective communication, speculative decoding, and emerging kernel techniques.

Manage a high-volume portfolio of Datadog customers by building strategic relationships, driving product adoption, identifying renewal risks and growth opportunities, supporting retention, and coordinating resolutions for technical, billing, and enablement needs. The role includes account management, contract negotiation, upselling and cross-selling, customer advising, usage monitoring, and collaboration with support, product, finance, and legal teams.

Write practitioner-focused technical video scripts and narratives for explainers, feature roundups, podcasts, and new formats. Collaborate with producers, product managers, marketers, advocates, engineers, animators, and technical experts to develop briefs, storyboards, scripts, and companion content. Translate complex technical concepts into clear customer-focused stories, capture product screens, maintain technical accuracy and brand voice, and support editing, sound mixing, and captioning. The role requires video storytelling, hands-on editing, and knowledge of software production, monitoring, and security.

Own full-lifecycle recruiting by sourcing, screening, assessing, and closing candidates across multiple business organizations. Build talent pipelines, partner with leaders on hiring plans, improve candidate and interview experiences, refine recruiting processes, train interview teams, and use Greenhouse ATS expertise. Manage multiple roles independently, adapt recruiting strategies, and promote the company’s value proposition to candidates.

Build and operate distributed infrastructure for large-scale LLM training, reinforcement learning, inference, and agent evaluation across GPU clusters. Responsibilities include parallelism, memory optimization, checkpointing, failure recovery, sandboxed execution, performance benchmarking, scheduling, observability, cluster capacity, and diagnosing hardware, software, and distributed-systems issues.

Coordinate high-volume interviews and recruiting workflows, including scheduling, candidate and interviewer communication, interview-day logistics, ATS and dashboard accuracy, offer letter management, and workload reporting. Partner with recruiters, hiring managers, and people teams; provide guidance and training; resolve scheduling issues; and maintain strong candidate experiences while meeting SLAs and adapting to changing business needs.

Leads enterprise sales engineering engagements from discovery through closed-won, including technical strategy, solution demonstrations, workshops, proof-of-value evaluations, stakeholder influence, and blocker resolution. Partners with account executives, product, support, and go-to-market teams to align Datadog solutions with customer outcomes. Documents deal progress, provides product feedback, mentors peers, and creates scalable enablement resources.

Investigate complex customer escalations involving authentication, authorization, identity, enterprise administration, audit records, dashboards, and data visualization. Lead technical calls, coordinate cross-functional investigations, mentor support engineers, provide training, partner with Engineering and Product, and develop internal debugging tools and workflows.

Drive net-new customer acquisition across small and midsize markets through outbound prospecting and full-cycle sales. Build technical product expertise, conduct demonstrations, negotiate contracts, and close deals. Partner with Sales Development Representatives to generate pipeline and engage technology leaders, including CTOs and engineering or IT decision-makers. Success requires quota-carrying experience, strong prospecting skills, adaptability, and comfort selling in a technical environment.